activity
19952025
most citedReservoir Computing as a Tool for Climate Predictability Studies

51 citations · 286 across the 29 of their papers we have counts for

collaborators

29 papers

quant-ph2025

Quantum Homotopy Algorithm for Solving Nonlinear PDEs and Flow Problems

Sachin S. Bharadwaj, Balasubramanya Nadiga, Stephan Eidenbenz +1

Quantum algorithms to integrate nonlinear PDEs governing flow problems are challenging to discover but critical to enhancing the practical usefulness of quantum computing. We prese…

nlin.CD2025

Using Echo-State Networks to Reproduce Rare Events in Chaotic Systems

Anton Erofeev, Balasubramanya T. Nadiga, Ilya Timofeyev

Echo-State Networks (ESNs) are known to reproduce trajectories and main properties of chaotic attractors. Here, we investigate the question of whether ESNs can reproduce rare event…

physics.comp-ph2024

Physics consistent machine learning framework for inverse modeling with applications to ICF capsule implosions

Daniel A. Serino, Evan Bell, Marc Klasky +4

In high energy density physics (HEDP) and inertial confinement fusion (ICF), predictive modeling is complicated by uncertainty in parameters that characterize various aspects of th…

cs.LG2024

Reconstructing Richtmyer-Meshkov instabilities from noisy radiographs using low dimensional features and attention-based neural networks

Daniel A. Serino, Marc L. Klasky, Balasubramanya T. Nadiga +2

A trained attention-based transformer network can robustly recover the complex topologies given by the Richtmyer-Meshkoff instability from a sequence of hydrodynamic features deriv…

eess.IV2024★ 3 cited

Learning Robust Features for Scatter Removal and Reconstruction in Dynamic ICF X-Ray Tomography

Siddhant Gautam, Marc L. Klasky, Balasubramanya T. Nadiga +3

Density reconstruction from X-ray projections is an important problem in radiography with key applications in scientific and industrial X-ray computed tomography (CT). Often, such…

physics.ao-ph2024

Parametric Sensitivities of a Wind-driven Baroclinic Ocean Using Neural Surrogates

Yixuan Sun, Elizabeth Cucuzzella, Steven Brus +6

Numerical models of the ocean and ice sheets are crucial for understanding and simulating the impact of greenhouse gases on the global climate. Oceanic processes affect phenomena s…